In this work, we propose hyperparameters optimization using grid search to optimize the
parameters of eight existing models and apply the best parameters to predict the outcomes of …

Importance Early features of Parkinson disease (PD) have been described through
population-based studies that overrepresent White, affluent groups and may not be generalizable. …

Objective To systematically investigate the association of environmental risk factors and
prodromal features with incident Parkinson’s disease (PD) diagnosis and the interaction of …

Objective We sought to determine whether genetic risk modifies the effect of environmental
risk factors for multiple sclerosis (MS). To test this hypothesis, we tested for statistical …

Importance Recent studies have highlighted an association between epilepsy and Parkinson
disease (PD). The role of antiepileptic drugs (AEDs) has not been explored. Objective To …

Methods We retrospectively analysed all 2WW referrals for brain cancer between 2009 and
2016 in a district general neurology department. We compared clinical presentations to …

Machine learning is currently recognized as an extremely valuable aspect for feature
selection. It is a subject often addressed in machine learning tasks particularly when there are …

Selection of features is the mechanism that recognizes the most appropriate attributes and
elimination of the redundant and insignificant attributes. These research focuses on a feature …

Importance Multiple Sclerosis (MS) is a common neuro-inflammatory disorder caused by a
combination of environmental exposures and genetic risk factors. Interaction between …

In HIV/AIDS datasets, there is lack of adequate and imbalanced samples includes repetitive
and unnecessary features that cause high dimensionality spaces. To address this problem, …